Job Description
Hands‑on Fabric engineer with significant experience across Fabric data ETL. Makes informed choices between Fabric components (e.g., Lakehouse vs Warehouse; Pipelines, Dataflow, Mirroring, Shortcuts) based on real‑world constraints. Strong SQL/T‑SQL; able to rewrite Qlik load scripts into Fabric SQL/T‑SQL, simplifying and optimising them for Lake-house/Warehouse. Will work alongside data analysts and developers to migrate E2E Qlik reports into Fabric and Power BI, will need to coach and upskill analysts and developers and document approach, process and best practice.
Core Experience (Must‑Have)
- End‑to‑end Fabric delivery specifically across storage, ingestion, and ETL in production.
- Fabric decision‑making: practical choices between Lake-house vs Warehouse, and use of Pipelines, Dataflow, Mirroring, Shortcuts based on real constraints.
- Pipelines: set up and run Fabric Pipelines for ETL/ELT (ingestion, orchestration/scheduling) with produ...
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